Title :
Tool for short-term load forecasting in transmission systems based on artificial intelligence techniques
Author :
Guirelli, C.R. ; Jardini, J.A. ; Magrini, L.C. ; Yasuoka, J. ; Campos, A.C. ; Bastos, M.
Author_Institution :
Escola Politecnica da USP, Brazil
Abstract :
This paper analyzes the use of wavelets and artificial intelligence techniques for short-term load forecast of energy transmission systems. Neural networks, fuzzy logic and wavelets have been investigated so as to determine the best-fit forecasting method for this issue. The development of a forecasting computer system is the outcome of this joint research project with CTEEP Transmissao Paulista.
Keywords :
artificial intelligence; fuzzy logic; fuzzy neural nets; load forecasting; power transmission planning; CTEEP Transmissao Paulista; artificial intelligence techniques; computer system forecasting; energy transmission system planning; fuzzy logic; neural networks; short-term load forecasting; wavelets; Artificial intelligence; Artificial neural networks; Databases; Distortion measurement; Filtering; Fuzzy logic; Load forecasting; SCADA systems; Sampling methods; Wavelet analysis;
Conference_Titel :
Transmission and Distribution Conference and Exposition: Latin America, 2004 IEEE/PES
Print_ISBN :
0-7803-8775-9
DOI :
10.1109/TDC.2004.1432385
